Dr. Sagar Indurkhya has over six years of experience with natural language processing and publications in top journals and conferences in the field of computational linguistics, as well as experience consulting with a number of companies that contract for the DoD, including work on other (past) SBIR contracts directly pertaining to NLP. His research work has focused on high-precision semantic parsing, the development of computational models of language acquisition grounded in linguistic theory, and black-box analysis of deep neural network-based NLP systems. Sagar has published in several leading conferences and journals for computational linguistics including The Linguistic Review, NELS and SCiL.
He holds a PhD in Computer Science from the Massachusetts Institute of Technology (MIT) with a focus on Computational Linguistics, a Masters of Engineering in Electrical Engineering & Computer Science from MIT, as well as a B.S. in Computer Science and Engineering from MIT.
Featured Speakers: Ciro Donalek, Chief Scientific Officer and Co-founder, Virtualitics Sagar Indurkhya, Head of Natural Language Processing, Virtualitics Machine Learning (ML) models can derive powerful